Driving Momentum to Higher Order Learning with AI Through the PONDU Model

Abstract

Education has seen significant transformation in its role, funding, and approach to learning. This required reassessment of what is the best way for pupils and students to learn. This article highlights the exponential trend of AI in education involving AI applications, resulting in supporting evolving knowledge and skill requirements in the labour market. Thus reskilling the UK workforce for a more technologically adapt future. A new educational model, the PONDU Model, is designed for this purpose. Pre - class activity using AI applications, allowing for testing of knowledge and understanding. Personal and collaborative learning ensuring student understanding and engagement. In class use of flipped learning pedagogy resulting in student motivation, participation and path to higher order learning. Post class activity allowing for evaluation and achievement of higher order learning, using AI driven assessments. The PONDU Model is formulated by a structured approach within which student learning is developed. At the asynchronous stage, the use of an avatar or virtual assistant and peer review in testing knowledge, understanding and reflection is applied. In addition, through the use of learning analytics, students’ learning characteristics can be identified and supported using adapted AI applications to enhance personal learning. Continued through the synchronous stage, based on flipped learning with gamification options to the post synchronous stage where higher order learning is achieved, supported by AI applications. The research leading to the PONDU Model design is based on a qualitative research strategy, using secondary research data, collected and analysed from secondary academic sources. Student feedback acquired through a module feedback mechanism, indicating student satisfaction and higher order learning using flipped learning, is also used. The conclusions indicate that at the asynchronous stage in the PONDU Model there is scope for multiple digital and AI applications; further scope for AI and gamification in the synchronous teaching and learning stage and summative asynchronous stage involving summative assessment, with the result of higher order student learning. The PONDU Model approach is recognising the value added by digital and AI applications.